AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

Markowitz's portfolio selection model has been the biggest step-forward in financial decision
making and has been the central point of research since its inception. The mean–variance …

The integration of hydrogen-based energy storage systems into urban residential buildings
is a promising method to reduce urban greenhouse gas emissions and achieve clean …

The power system with high penetration of wind power faces a great challenge for system
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …

Disaster relief logistics (DRL) provides adequate relief supplies to victims of natural
disasters (eg, earthquakes and volcanic eruptions). This study explicitly considers supplier …

Electric vehicles (EVs) are being rapidly adopted due to their economic and societal
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …

There are types of events called events with high effect and low probability, which have a
significant impact on network performance. These types of events are divided into two …

Negative sampling has been heavily used to train recommender models on large-scale
data, wherein sampling hard examples usually not only accelerates the convergence but …

Leading sequential recommendation (SeqRec) models adopt empirical risk minimization
(ERM) as the learning framework, which inherently assumes that the training data (historical …

As an emerging entity, the aggregator integrating renewable energy generator and energy
storage (REG-ES aggregator) can promote the consumption of renewable energy by …